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Synthetic Data Generation Training Workflow Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Synthetic Data Generation Training Workflow/Audit

Skill audit report

Synthetic Data Generation Training Workflow Audit report.

Workflow for generating synthetic data and training CV models.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Sep 24, 2026Heuristic metadata audit

61

Audit

69

Trust

41

Quality

80

Security

38

Maintain

92

Install

OpenAgentSkill Trust Score

69

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

104 GitHub stars

Stars/forks activity

WARN

57

104 stars, 21 forks; issue activity unavailable in current metadata

Recent maintenance

FAIL

38

1y since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add NVIDIA-AI-IOT/synthetic_data_generation_training_workflow

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/NVIDIA-AI-IOT/synthetic_data_generation_training_workflow

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 13 Needs review

Install path

92

PASS

npx skills add NVIDIA-AI-IOT/synthetic_data_generation_training_workflow

Repository

88

PASS

https://github.com/NVIDIA-AI-IOT/synthetic_data_generation_training_workflow

License

45

CHECK

Unknown

Maintenance

38

FIX

1y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

57

FIX

104 stars, 21 forks; issue activity unavailable in current metadata

Adoption

68

INFO

104 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

License is unclear
Repository appears stale
Financial research output is not financial advice; require human review before any live investment decision
Repository looks stale
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Stars/forks activity: 104 stars, 21 forks; issue activity unavailable in current metadata
Recent maintenance: 1y since push
License clarity: Unknown

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

Review the source

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Jupyter Notebook + Robotics
Alternatives: 3

Open agent JSON

Signals

Audit score: 61/100
Quality: 41/100
Trust: 69/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 1y since push
Events: 1 events
GitHub stars: 104
Last push: Jun 26, 2025

Agent safety v2

45/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.
License is unclear
45/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

License is unclear
Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

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